Comparison of hemodynamic changes in ketamine versus fentanyl as co-induction agent with propofol in elective surgical procedures

Objectives: To assess the hemodynamic changes caused by the co-induction of ketamine or fentanyl with propofol. Methodology: This prospective randomized trial included 220 patients that underwent elective surgical procedures under general anesthesia with endotracheal intubation. Random allocation of patients was done into two equal groups and drugs were administered using the double-blinded technique. Group A received propofol and fentanyl while group B received propofol and ketamine given as intravenous bolus doses. Measurement of systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), and heart rate (HR) was done before induction and 10 minutes after induction before the surgical stimulus. Independent samples t-test and paired t-test were employed for analysis of the collected data. Results: Both groups had normal hemodynamic parameters before induction; however, there was a significant difference in hemodynamic indices of both groups after 10 minutes of induction (p<0.001). Group A showed a significant decrease in SBP, DBP, and MAP after 10 minutes of induction (p<0.001). The patients in group B showed a significant increase in mean HR from baseline to 10 minutes (p<0.001). Group B demonstrated no change in the systolic, diastolic, and mean arterial pressures; however, group A elucidated a significant decrease in these hemodynamic parameters. Conclusion: The combination of ketamine and propofol provides better hemodynamic stability than fentanyl and propofol. More studies are required to evaluate these changes in patients with cardiovascular comorbidities

Probiotic Characterization and Population Diversity Analysis of Gut-Associated Pediococcus acidilactici for Its Potential Use in the Dairy Industry

In recent years, gut-tailored probiotics have been proven to be beneficial for host health. Probiotic strains such as lactic acid bacteria (LAB) are known to exhibit antimicrobial activity, acting as natural substitutes for the regulation of foodborne pathogens. In the present study, a complete analysis, isolation, biochemical characterization, and molecular identification of Pediococcus acidilactici (NMCC-11) from Nili Ravi water buffalo (Bubalis bubalis) gut was carried out. NMCC-11 showed the best enzymatic potential, antimicrobial activity against known pathogenic strains, and survivability at a wide pH range (pH 4–pH 6) out of all isolates. The isolates were screened for their antimicrobial activity against the five most infectious microbes such as Escherichia coli (ATCC 8739), Pseudomonas aeruginosa (ATCC9027), Staphylococcus aureus (ATCC6538), Listeria monocytogenes (ATCC13932), and Bacillus cereus (ATCC 11778) using the agar-well diffusion method. Moreover, after NMCC-11 isolation, a comparative diversity analysis against a variety of other randomly selected strains from around the world was carried out using R software. This study showed relatively low genetic diversity, which also contributed to the claim of the stability of this probiotic strain and its potential use as a starter culture and feed probiotic in the dairy industry. However, further studies are certainly warranted to determine its optimal dosage, time frame, and intake frequenc

Biochemical Markers of Liver Toxicity among Coal Mine Workers of Punjab, Pakistan Suffering from HCV

Hepatitis C is among the leading hepatic disorders in current period through which about 3 % world population has been anguish among them 170 million were diagnosed as persistent carriers. A great range of alteration in liver biochemical parameters were found to be allied with HCV infestation. Current study was designed to evaluate the extent of HCV mediated abnormalities in liver biochemical markers which includes ALT (alanine aminotransferase), AST (Aspartate transaminase), ALP (Alkaline Phosphatase) and serum bilirubin. The study was conducted on coal miners of Punjab province, Pakistan. HCV was primarily diagnosed through one step rapid test device after which positive samples were confirmed through ELISA. Biochemical markers were determined through Autoanalyzer by using standard procedure provided with spinreact kits. Simple linear regression analysis significantly explained 24 %, 56.2 %, 68.8 % and 56 % variance in ALT (alanine aminotransferase), AST (Aspartate transaminase), ALP (Alkaline Phosphatase) and serum bilirubin level among HCV positive coal mine workers respectively. Results have clearly indicated significant correlation between HCV seropositivity and liver biochemical markers. Findings of present study conclude monitoring of liver biochemical markers is crucial during HCV infectivity as it represents the degree of impairment in liver functioning. In addition to this elevation in these diagnostic markers could points toward the presence of HCV in respective individual

Effectiveness of Natural Antioxidants against SARS-CoV-2? Insights from the In-Silico World

The SARS CoV-2 pandemic has affected millions of people around the globe. Despite many efforts to find some effective medicines against SARS CoV-2, no established therapeutics are available yet. The use of phytochemicals as antiviral agents provides hope against the proliferation of SARS-CoV-2. Several natural compounds were analyzed by virtual screening against six SARS CoV-2 protein targets using molecular docking simulations in the present study. More than a hundred plant-derived secondary metabolites have been docked, including alkaloids, flavonoids, coumarins, and steroids. SARS CoV-2 protein targets include Main protease (M(Pro)), Papain-like protease (PL(pro)), RNA-dependent RNA polymerase (RdRp), Spike glycoprotein (S), Helicase (Nsp13), and E-Channel protein. Phytochemicals were evaluated by molecular docking, and MD simulations were performed using the YASARA structure using a modified genetic algorithm and AMBER03 force field. Binding energies and dissociation constants allowed the identification of potentially active compounds. Ligand-protein interactions provide an insight into the mechanism and potential of identified compounds. Glycyrrhizin and its metabolite 18-β-glycyrrhetinic acid have shown a strong binding affinity for M(Pro), helicase, RdRp, spike, and E-channel proteins, while a flavonoid Baicalin also strongly binds against PL(pro) and RdRp. The use of identified phytochemicals may help to speed up the drug development and provide natural protection against SARS-CoV-2

Large-Scale in Vitro Transcription, RNA Purification and Chemical Probing Analysis

Background/Aims: RNA elements such as catalytic RNA, riboswitch, microRNA, and long non coding RNA (lncRNA) play central roles in many cellular processes. Studying diverse RNA functions require large quantities of RNA for precise structure analysis. Current RNA structure and function studies can benefit from improved RNA quantity and quality, simpler separation procedure and enhanced accuracy of structural analysis. Methods: Here we present an optimized protocol for analyzing the structure of any RNA, including in vitro transcription, size-exclusion chromatography (SEC) based denaturing purification and improved secondary structure analysis by chemical probing. Results: We observed that higher Mg2+, nucleoside triphosphate (NTP) concentrations and longer reaction duration can improve the RNA yield from in vitro transcription, specifically for longer and more complicated constructs. Our improved SEC-based denaturing RNA purification effectively halved the experiment duration and labor without introducing any contaminant. Finally, this study increased the accuracy and signal-to-noise ratio (SNR) of selective 2′-hydroxyl acylation analyzed by primer extension (SHAPE) chemical probing for analyzing RNA structure. Conclusion: Part or all of our modified method can improve almost any RNA-related study from protein-RNA interaction analysis to crystallography

Biohydrogen—A Green Fuel for Sustainable Energy Solutions

Energy plays a crucial role in the sustainable development of modern nations. Today, hydrogen is considered the most promising alternative fuel as it can be generated from clean and green sources. Moreover, it is an efficient energy carrier because hydrogen burning only generates water as a byproduct. Currently, it is generated from natural gas. However, it can be produced using other methods, i.e., physicochemical, thermal, and biological. The biological method is considered more environmentally friendly and pollution free. This paper aims to provide an updated review of biohydrogen production via photofermentation, dark fermentation, and microbial electrolysis cells using different waste materials as feedstocks. Besides, the role of nanotechnology in enhancing biohydrogen production is examined. Under anaerobic conditions, hydrogen is produced during the conversion of organic substrate into organic acids using fermentative bacteria and during the conversion of organic acids into hydrogen and carbon dioxide using photofermentative bacteria. Different factors that enhance the biohydrogen production of these organisms, either combined or sequentially, using dark and photofermentation processes, are examined, and the effect of each factor on biohydrogen production efficiency is reported. A comparison of hydrogen production efficiency between dark fermentation, photofermentation, and two-stage processes is also presented

Biohydrogen—A Green Fuel for Sustainable Energy Solutions

Energy plays a crucial role in the sustainable development of modern nations. Today, hydrogen is considered the most promising alternative fuel as it can be generated from clean and green sources. Moreover, it is an efficient energy carrier because hydrogen burning only generates water as a byproduct. Currently, it is generated from natural gas. However, it can be produced using other methods, i.e., physicochemical, thermal, and biological. The biological method is considered more environmentally friendly and pollution free. This paper aims to provide an updated review of biohydrogen production via photofermentation, dark fermentation, and microbial electrolysis cells using different waste materials as feedstocks. Besides, the role of nanotechnology in enhancing biohydrogen production is examined. Under anaerobic conditions, hydrogen is produced during the conversion of organic substrate into organic acids using fermentative bacteria and during the conversion of organic acids into hydrogen and carbon dioxide using photofermentative bacteria. Different factors that enhance the biohydrogen production of these organisms, either combined or sequentially, using dark and photofermentation processes, are examined, and the effect of each factor on biohydrogen production efficiency is reported. A comparison of hydrogen production efficiency between dark fermentation, photofermentation, and two-stage processes is also presented

An Effective Color Image Encryption Based on Henon Map, Tent Chaotic Map, and Orthogonal Matrices

In the last decade, the communication of images through the internet has increased. Due to the growing demands for data transfer through images, protection of data and safe communication is very important. For this purpose, many encryption techniques have been designed and developed. New and secured encryption schemes based on chaos theory have introduced methods for secure as well as fast communication. A modified image encryption process is proposed in this work with chaotic maps and orthogonal matrix in Hill cipher. Image encryption involves three phases. In the first phase, a chaotic Henon map is used for permuting the digital image. In the second phase, a Hill cipher is used whose encryption key is generated by an orthogonal matrix which further is produced from the equation of the plane. In the third phase, a sequence is generated by a chaotic tent map which is later XORed. Chaotic maps play an important role in the encryption process. To deal with the issues of fast and highly secured image processing, the prominent properties of non-periodical movement and non-convergence of chaotic theory play an important role. The proposed scheme is resistant to different attacks on the cipher image. Different tests have been applied to evaluate the proposed technique. The results of the tests such as key space analysis, key sensitivity analysis, and information entropy, histogram correlation of the adjacent pixels, number of pixel change rate (NPCR), peak signal to noise ratio (PSNR), and unified average changing intensity (UCAI) showed that our proposed scheme is an efficient encryption technique. The proposed approach is also compared with some state-of-the-art image encryption techniques. In the view of statistical analysis, we claim that our proposed encryption algorithm is secured